... volumes of structured and unstructured data using AWS, Google Cloud and Azure cloud platforms. Data Processing and Analytics: Proficiency in processing and analyzing big data using tools like Spark, or ...
... with batch processing frameworks and real-time data processing frameworks. Experience with data pipeline development using programming languages, including batch processing implementation. In-depth understanding of data modeling, data warehousing, and ...
... 2 years of experience in data analytics, data modelling, data integration and data visualization. Strong communication skills and stakeholders management. Strong knowledge and skills in data modelling tools and languages, such ...
... Oracle DWH, Hadoop, or other data platforms for data analysis and reporting; Experience with data processing, cleansing, and transformation to ensure data accuracy and consistency; Strong ability ...
... , Java, or C# Experience with data processing and analytics tools, such as Apache Spark, Hadoop, and SQL Server Strong understanding of data governance, data quality, and data security principles Experience with Agile ...
... , Java, or C# Experience with data processing and analytics tools, such as Apache Spark, Hadoop, and SQL Server Strong understanding of data governance, data quality, and data security principles Experience with Agile ...
... , Java, or C# Experience with data processing and analytics tools, such as Apache Spark, Hadoop, and SQL Server Strong understanding of data governance, data quality, and data security principles Experience with Agile ...
... Superset) Implement monitoring for created data pipelines and reports, perform troubleshooting ... 2 years of experience in data analytics, data modelling, data integration and data visualization. Hands-on experience with ...
... the strategic direction of AI data initiatives, ensuring alignment with business ... , and other stakeholders regarding AI data initiatives; Drive the creation of ... Experience: Proven experience leading a data science or AI-focused team, ...
Purpose Objective: Data analysis involves collecting, processing, and performing statistical analyses on large datasets to discover useful information, suggest conclusions, and support decision-making. Data analyst also provides accurate reporting ...